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MCP工具

最新视觉回归测试

基于 TypeScript · 让 AI 助手直接操作你的系统与工具
英文名:lastest
⭐ 8 Stars 💻 TypeScript 📄 NOASSERTION 🏷 AI 8.0分
8.0AI 综合评分
ai-testingmcptypescript
⚙️ 配置说明
✦ AI Skill Hub 推荐

经 AI Skill Hub 精选评估,最新视觉回归测试 获评「强烈推荐」。这款MCP工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.0 分,适合有一定技术背景的用户使用。

📚 深度解析

最新视觉回归测试 是一款基于 MCP(Model Context Protocol)标准协议的 AI 工具扩展。MCP 协议由 Anthropic 开发并开源,旨在建立 AI 模型与外部工具之间的标准化通信接口,目前已被 Claude Desktop、Claude Code、Cursor 等主流 AI 工具采纳。

通过安装 最新视觉回归测试,你的 AI 助手将获得额外的工具调用能力,可以用自然语言直接操控该工具的功能,无需学习复杂的命令行语法。MCP 工具的核心价值在于"一次配置,永久增强"——配置完成后,每次与 AI 对话时都可以无缝调用这些工具。

在技术实现上,MCP 工具通过标准的 JSON-RPC 协议与 AI 客户端通信,工具的功能以"工具列表"的形式暴露给 AI 模型,AI 可以按需调用。最新视觉回归测试 提供了结构化的工具调用接口,使 AI 模型能够精确地理解和使用每个功能点,显著降低 AI 在工具使用上的错误率。

与传统的 API 集成相比,MCP 工具的优势在于无需编写代码——用户只需在配置文件中添加几行 JSON,即可让 AI 获得全新能力。AI Skill Hub 将 最新视觉回归测试 评为 AI 评分 8.0 分,属于同类工具中的优质选择。

📋 工具概览

最新视觉回归测试 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

GitHub Stars
⭐ 8
开发语言
TypeScript
支持平台
Windows / macOS / Linux
维护状态
轻量级项目,按需更新
开源协议
NOASSERTION
AI 综合评分
8.0 分
工具类型
MCP工具
Forks

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

最新视觉回归测试 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

📌 核心特色
  • 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
  • 提供结构化工具调用接口,显著降低 AI 集成复杂度
  • 支持 Claude Desktop 和 Claude Code 无缝接入,开箱即用
  • 可与其他 MCP 工具组合叠加,构建完整 AI 工作站
  • 轻量无侵入设计,不影响现有系统架构
🎯 主要使用场景
  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/las-team/lastest

# 方式二:手动配置 claude_desktop_config.json
{
  "mcpServers": {
    "--------": {
      "command": "npx",
      "args": ["-y", "lastest"]
    }
  }
}

# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
📋 安装步骤说明
  1. 确认已安装 Node.js(v18 或以上版本)
  2. 打开 Claude Desktop 或 Claude Code 的 MCP 配置文件
  3. 按「交给 Agent 安装 → Claude Desktop」标签中的 JSON 配置填入 mcpServers 字段
  4. 保存配置文件并重启 Claude 客户端
  5. 重启后,在对话中即可使用本工具
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 安装后在 Claude 对话中直接使用
# 示例:
用户: 请帮我用 最新视觉回归测试 执行以下任务...
Claude: [自动调用 最新视觉回归测试 MCP 工具处理请求]

# 查看可用工具列表
# 在 Claude 中输入:"列出所有可用的 MCP 工具"
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
// claude_desktop_config.json 配置示例
{
  "mcpServers": {
    "________": {
      "command": "npx",
      "args": ["-y", "lastest"],
      "env": {
        // "API_KEY": "your-api-key-here"
      }
    }
  }
}

// 保存后重启 Claude Desktop 生效
📑 README 深度解析 真实文档 完整度 75/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

简介

<p align="center"> <img src="./docs/logo-lockup.svg" alt="Lastest" width="420" /> </p> <p align="center"> <strong>Free, open-source visual regression testing with AI-generated tests</strong> </p> <p align="center"> Record it. Test it. Ship it. </p>

<p align="center"> <a href="https://lastest.cloud">Website</a> • <a href="https://github.com/las-team/lastest/wiki">Wiki</a> • <a href="#features">Features</a> • <a href="#quick-start">Quick Start</a> • <a href="#how-it-works">How It Works</a> • <a href="#why-lastest">Why Lastest</a> • <a href="#comparison">Comparison</a> • <a href="#commands">Commands</a> • <a href="#environment-variables">Config</a> </p>

<p align="center"> <img src="https://img.shields.io/badge/license-FSL--1.1--ALv2-blue.svg" alt="License" /> <img src="https://img.shields.io/badge/self--hosted-yes-green" alt="Self Hosted" /> <a href="https://lastest.cloud"><img src="https://img.shields.io/badge/website-lastest.cloud-0a84ff" alt="lastest.cloud" /></a> </p>

---

<p align="center"> <img src="./docs/lastest-intro.gif" alt="Lastest Demo — Record, Test, Diff, Approve" width="720" /> </p>

Features

Configure env (required before pnpm dev — without EB_PROVISIONER the app

Embedded Browser stack (required for any test run)

The dev app runs on the host while EB pods are dynamically provisioned into a local k3d cluster — one EB per test. Without pnpm stack running, no test can execute or record.

pnpm stack           # create k3d cluster, build + import the EB image
pnpm stack:status    # cluster + EB jobs + host /api/health
pnpm stack:logs      # tail EB pod logs
pnpm stack:refresh   # rebuild the EB image after editing packages/embedded-browser
pnpm stack:stop      # delete the cluster

The .env.local keys the EB stack requires (already added by the Quick Start block above):

EB_PROVISIONER=kubernetes
EB_NAMESPACE=lastest
EB_IMAGE=lastest-embedded-browser:latest
LASTEST_URL=http://host.k3d.internal:3000
SYSTEM_EB_TOKEN=<openssl rand -hex 32>
DATABASE_URL=postgresql://lastest:lastest@localhost:5432/lastest
Note on defaults: EB_PROVISIONER defaults to 'none' in code, so omitting it lets pnpm dev start cleanly but every test will silently fail to provision an EB. Always set it for any environment that runs tests.

See k8s/ and scripts/k3d-*.sh for the manifests and bootstrap scripts.

Requirements

  • Docker: Docker 20+ with Compose v2
  • Node.js: 18+ and pnpm 10.x
  • Required for running/recording tests: k3d ≥ 5.6, kubectl, openssl (the EB stack — no local-Playwright fallback)

---

Build Once, Run Forever

Tests are recorded or generated once, then stored as code. Every subsequent run re-executes the same code, captures new screenshots, and diffs them against approved baselines.

  • First run: screenshot becomes the baseline
  • Every run after: new screenshot is SHA256-hashed — if it matches the baseline, instant pass (no pixel comparison needed). If it differs, the diff engine runs and you review the change.
  • AI costs are one-time: AI is only used during test creation and fixing. Running tests uses zero AI — it's pure Playwright execution.
  • No per-screenshot pricing on self-hosted: every run is unlimited regardless of volume.
Create tests (one-time)          Run tests (forever)
┌──────────────────────┐         ┌──────────────────────┐
│ Manual recording     │         │ Execute Playwright    │
│   — or —             │  ────▶  │ Capture screenshots   │
│ AI generation        │  save   │ Diff against baseline │
│   — or —             │         │ Review changes        │
│ Play Agent autonomy  │         │ Approve/reject        │
└──────────────────────┘         └──────────────────────┘
  AI may be used here              No AI needed here

---

Quick Start

Tech Guides

In-depth docs for every integration live on the Lastest Wiki. The README keeps things at a glance — click through for flags, payloads, and CI examples.

GuideWhat it coversWiki
**CLI Test Runner (CI/CD)**pnpm test:visual --repo-id <id> for GitHub Actions / other pipelines; auto-captures GITHUB_HEAD_REF / GITHUB_REF_NAME / GITHUB_SHA[CI/CD Integration](https://github.com/las-team/lastest/wiki/CI-CD-Integration)
**GitHub Action**Reusable composite action las-team/lastest/action@main — zero local Playwright, runs on your Lastest server via a remote runner; outputs status + build URL + counts[CI/CD Integration](https://github.com/las-team/lastest/wiki/CI-CD-Integration) · [GitHub Integration](https://github.com/las-team/lastest/wiki/GitHub-Integration)
**Smart Run**Diff-based test selection — only tests affected by changed files run, comparing the feature branch against the default branch via GitHub/GitLab API[Running Tests](https://github.com/las-team/lastest/wiki/Running-Tests)
**Self-Hosted Deployment**pnpm deploy:zima (ZimaBoard / CasaOS via docker compose) and pnpm deploy:olares (Olares via kubectl); shared multi-stage Dockerfile, GET /api/health. Required env: POSTGRES_PASSWORD, BETTER_AUTH_SECRET, SYSTEM_EB_TOKEN[Docker Deployment](https://github.com/las-team/lastest/wiki/Docker-Deployment)
**Remote Runners**@lastest/runner on npm — register in Settings → Runners, then lastest-runner start -t <token> -s <url>; supports run, record, parallel, daemon mode, system-info reporting[Remote Runners](https://github.com/las-team/lastest/wiki/Remote-Runners)
**MCP Server**npx @lastest/mcp-server --url <…> --api-key <…> exposes 50 tools (run/poll/list/heal/approve/reject/coverage/…) for Claude and other agents; structured JSON responses[MCP Server](https://github.com/las-team/lastest/wiki/MCP-Server)
**Scheduled Runs**Cron-based automated builds with presets (daily 3am, weekly, hourly, every 15min) or custom expressions; auto-disable after 5 consecutive failures[Scheduled Runs](https://github.com/las-team/lastest/wiki/Scheduled-Runs)
**Google Sheets Integration**Spreadsheet-backed test data — per-team OAuth, multi-tab spreadsheets, custom header row, fixed ranges; surfaces values on the test Vars tab[Google Sheets](https://github.com/las-team/lastest/wiki/Google-Sheets-Integration)
**Custom Webhooks**POST build.completed payloads (status / counts / git refs / build URL) to any HTTP endpoint, with custom method + headers[Custom Webhooks](https://github.com/las-team/lastest/wiki/Custom-Webhooks)
**VSCode Extension**lastest-vscode — Test Explorer in the Activity Bar, run tests from the editor, live status bar, real-time WebSocket updates; powered by /api/v1/ REST + SSE[VSCode Extension API](https://github.com/las-team/lastest/wiki/VSCode-Extension-API)
**API Tokens**Long-lived Bearer tokens for programmatic access (CI runners, MCP server, REST clients)[API Tokens](https://github.com/las-team/lastest/wiki/API-Tokens)
**Bug Reports**In-app reporting with auto-captured browser/network/console context, optional GitHub-issue creation[Bug Reports](https://github.com/las-team/lastest/wiki/Bug-Reports)
**Agent Monitoring**Real-time SSE activity feed tracking Play Agent sessions step-by-step[Agent Monitoring](https://github.com/las-team/lastest/wiki/Agent-Monitoring)
**Gamification**"Beat the Bot" — scoring, seasons, leaderboards, Bug Blitz multiplier events[Gamification](https://github.com/las-team/lastest/wiki/Gamification)
**Test Migration**Cross-instance export / import of tests, areas, and configs via REST API or in-app UI[Test Migration](https://github.com/las-team/lastest/wiki/Test-Migration)

---

Settings

All configuration lives under a unified Settings page. Per-section deep dives live on the Settings Reference wiki — the table below is the quick map.

SectionDescriptionWiki
**GitHub**Connect account, select repositories, manage PR-comment + issue-creation hooks[GitHub Integration](https://github.com/las-team/lastest/wiki/GitHub-Integration)
**GitLab**Connect account (supports self-hosted instances), MR comments, webhooks[GitLab Integration](https://github.com/las-team/lastest/wiki/GitLab-Integration)
**Google Sheets**Connect Google Drive, manage data sources, surface vars on the test Vars tab[Google Sheets](https://github.com/las-team/lastest/wiki/Google-Sheets-Integration)
**Playwright**Browser type, viewport, headless/shell mode, selector priority, recording engine, animation freezing, screenshot delay, max parallel tests, headed playback for debugging[Settings Reference](https://github.com/las-team/lastest/wiki/Settings-Reference)
**Stabilization**Network idle, DOM stability, timestamp freezing, random seeding, third-party blocking, font loading, loading-indicator hiding, cross-OS consistency, burst capture, auto-mask dynamic content[Stabilization](https://github.com/las-team/lastest/wiki/Stabilization-Features)
**Environment**Server startup (manual vs auto-start), health check URLs, EB-mode toggles[Environment Vars](https://github.com/las-team/lastest/wiki/Environment-Variables)
**Diff Sensitivity**Diff engine selection (pixelmatch / SSIM / Butteraugli), text-region-aware diffing, DOM-diff fallback, pixel/percentage thresholds, page-shift detection, per-step ignore regions[Visual Diffing](https://github.com/las-team/lastest/wiki/Visual-Diffing)
**AI**Test-generation provider, diff-analysis provider, API keys, model, custom instructions, Ollama / OpenAI / Claude / OpenRouter support, MCP wiring for "Enhance with AI"[AI Configuration](https://github.com/las-team/lastest/wiki/AI-Configuration)
**Notifications**Slack, Discord, custom webhook config, auto-create GitHub issue from a visual diff[Custom Webhooks](https://github.com/las-team/lastest/wiki/Custom-Webhooks)
**Branches**Baseline and scanning branch selection, branch baseline fork/merge/promote[Visual Diffing](https://github.com/las-team/lastest/wiki/Visual-Diffing)
**AI Logs**Audit trail of all AI requests (last 50 entries) with cost + latency[AI Configuration](https://github.com/las-team/lastest/wiki/AI-Configuration)
**Testing Templates**One-click preset configurations for SaaS, Marketing, Canvas, E-commerce, Documentation, Mobile-First, SPA, CMS[Testing Templates](https://github.com/las-team/lastest/wiki/Testing-Templates)
**Setup**Default repository-wide multi-step setup scripts (Playwright and API types), with per-test overrides[Settings Reference](https://github.com/las-team/lastest/wiki/Settings-Reference)
**Teardown**Default repository-wide multi-step teardown scripts with per-test overrides[Settings Reference](https://github.com/las-team/lastest/wiki/Settings-Reference)
**Schedules**Cron-based automated test runs with presets and custom expressions[Scheduled Runs](https://github.com/las-team/lastest/wiki/Scheduled-Runs)
**Vars**Test-data variables — static, AI-generated (with presets), and Google Sheets-backed[Google Sheets](https://github.com/las-team/lastest/wiki/Google-Sheets-Integration)
**API Tokens**Long-lived Bearer tokens for programmatic + MCP access[API Tokens](https://github.com/las-team/lastest/wiki/API-Tokens)
**Account**Email preferences, unsubscribe, GDPR / self-serve account deletion
**Users**Team member management, invitations (admin only)[Getting Started](https://github.com/las-team/lastest/wiki/Getting-Started)
**Runners**Remote runner registration and management (admin only)[Remote Runners](https://github.com/las-team/lastest/wiki/Remote-Runners)

---

Environment Variables

```bash

Email (optional, for invitations)

RESEND_API_KEY= EMAIL_FROM=

Integrations

  • GitHub — OAuth login, repo sync, PR comments, webhook-triggered builds, reusable GitHub Action.
  • GitLab — OAuth login (self-hosted supported), MR comments, webhook triggers.
  • Google OAuth — Sign in with Google.
  • Google Sheets — Use spreadsheet data as test data sources with per-team OAuth, multi-tab support, custom header rows, fixed ranges, and caching.
  • Notifications — Slack, Discord, custom webhooks, and GitHub/GitLab PR comments for build results.
  • Email — Team invitation emails via Resend.

Comparison

CapabilityLastestPercyApplitoolsChromaticArgosMeticulousPlaywright
**Price****Free self-hosted / hosted plans**PaidPaidPaidPaidPaidFree
**Screenshot volume (self-hosted)****Unlimited**LimitedOSS onlyLimitedLimitedNoneUnlimited
**Self-hosted****Yes**NoEnterpriseNoOSS coreNoYes
**Open source****FSL-1.1-ALv2**SDKs onlySDKs onlyStorybookMIT coreNoApache-2.0
**No-code recording****Yes**NoLow-codeNoNoSessionCodegen
**AI test generation****Yes**NoNLPNoNoSession-basedNo
**AI auto-fix tests****Yes**NoNoNoNoAuto-maintainNo
**Autonomous agent****Yes (Play Agent)**NoNoNoNoNoNo
**AI diff analysis****Yes**AI Review AgentVisual AINoNoDeterministicNo
**Multi-engine diffing****3 engines**NoVisual AINoNoNoNo
**Text-region-aware diffing****Yes**NoNoNoNoNoNo
**Spec-driven test gen****Yes**NoNoNoNoNoNo
**Approval workflow****Yes**YesYesYesYesPR-basedNo
**Accessibility****axe-core**NoNoEnterpriseARIA snapsNoNo
**Route discovery****Yes**NoNoNoNoNoNo
**Multi-tenancy****Yes**ProjectsEnterpriseProjectsTeamsProjectsNo
**Figma integration****Yes**NoYesNoNoNoNo
**Google Sheets data****Yes**NoNoNoNoNoNo
**Debug mode****Yes**NoNoNoTracesNoTrace
**Remote runners****Yes (npm package)**CloudCloudCloudCloudCloudNo
**Embedded browser****Yes (container + live stream)**NoNoNoNoNoNo
**Local AI (Ollama)****Yes**NoNoNoNoNoNo
**Cross-OS consistency****12 stabilization features**NoNoNoStabilization engineNoNo
**GitHub Action****Yes**Cloud-onlyCloud-onlyCloud-onlyCloud-onlyCloud-onlyNo
**GitLab integration****Yes (self-hosted)**YesYesNoNoNoNo
**Test composition****Yes**NoNoNoNoNoNo
**Testing templates****8 presets**NoNoNoNoNoNo
**Setup/teardown orchestration****Yes**NoNoNoNoNoNo
**Branch baseline management****Yes**YesYesYesNoNoNo
**Scheduled test runs****Yes (cron)**CloudCloudCloudCloudCloudNo
**MCP server (AI agent API)****Yes (50 tools)**NoNoNoNoNoNo
**WCAG compliance scoring****Yes (0–100)**NoNoNoNoNoNo
**AI failure triage****Yes**NoNoNoNoNoNo
**Assertion tracking****Yes**NoNoNoNoNoNo
**Agent monitoring****Yes (real-time SSE)**NoNoNoNoNoNo
**In-app bug reports****Yes (auto-context)**NoNoNoNoNoNo
**Gamification****Yes (leaderboard + achievements)**NoNoNoNoNoNo
**Cross-instance migration****Yes (API export/import)**NoNoNoNoNoNo
**API tokens****Yes (long-lived Bearer)**CloudCloudCloudCloudCloudNo
🎯 aiskill88 AI 点评 A 级 2026-06-01

高质量的开源MCP工具,实现视觉回归测试

⚡ 核心功能

👥 适合人群

Claude Desktop / Claude Code 用户AI 工具开发者需要扩展 AI 能力的专业人士自动化工程师

🎯 使用场景

  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站

⚖️ 优点与不足

✅ 优点
  • +标准化 MCP 协议,生态互联性强
  • +与 Claude 官方生态无缝对接
  • +即插即用,配置简单快捷
⚠️ 不足
  • 依赖 Claude 客户端,非 Claude 用户无法使用
  • MCP 协议仍在持续演进,接口可能变更
  • 需要一定的配置步骤
⚠️ 使用须知

该工具使用 NOASSERTION 协议,商用场景请仔细阅读协议条款,必要时咨询法律意见。

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

📄 License 说明

📄 NOASSERTION — 请查阅原始协议条款了解具体使用限制。

🔗 相关工具推荐

🧩 你可能还需要
基于当前 Skill 的能力图谱,自动补全的工具组合

❓ 常见问题 FAQ

Model Context Protocol,模型上下文协议
💡 AI Skill Hub 点评

AI Skill Hub 点评:最新视觉回归测试 的核心功能完整,质量优秀。对于Claude Desktop / Claude Code 用户来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。

⬇️ 获取与下载
📚 深入学习 最新视觉回归测试
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 lastest
Topics ai-testingmcptypescript
GitHub https://github.com/las-team/lastest
License NOASSERTION
语言 TypeScript
🔗 原始来源
🐙 GitHub 仓库  https://github.com/las-team/lastest

收录时间:2026-06-01 · 更新时间:2026-06-01 · License:NOASSERTION · AI Skill Hub 不对第三方内容的准确性作法律背书。